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Applied Network Science (ANS) is an open-access and strictly peer-reviewed journal giving researchers and practitioners in the field the ability to reach a larger audience. ANS encompasses all established and emerging fields that have been or can be shown to benefit from quantitative network-based modeling. Contributions from all fields of science, technology, medicine and humanities will be considered, in particular from newly emerging research areas formed and developing at the interfaces of presently established sub-disciplines.The focus of the journal is based on novel or anticipated applications of network sciences, on related techniques that may be used in applications of complex network methodologies, and on innovative modeling approaches that will enhance specific applications and lead to more widespread use of network science concepts. Overall, articles that have a direct application to real world problems form the core publications of this journal. Less
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Overview | |
Publisher | Springer Nature |
Language | English |
Frequency | Annual |
Article Processing Charges | GBP 790 | USD 1290 |
Publication Time | 5 |
Editorial Review Process | Blind peer review |
General Details | |
Publication Details | |
Editorial Review Detail | |
Information for authors | |
Author instructions | Visit website |
Copyright Details | Visit website |
Deposit Policy | Sherpa/Romeo |
License type | CC BY |
OA statement | Visit website |
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Applied Network Science published with a Annual frequency.
For Applied Network Science, eISSN is 2364-8228 and pISSN is 2364-8228.
Citescore for Applied Network Science is 3.
SNIP score for Applied Network Science is 1.
SJR for Applied Network Science is Q3.
Springer Nature is the publisher of Applied Network Science.